Antimicrobial susceptibility testing with large-volume light scattering imaging and deep learning video microscopy
US11834696B2 · kind B2 · utility
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Key dates
| Filing date | Apr 5, 2018 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | Apr 28, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method for deep learning video microscopy-based antimicrobial susceptibility testing of a bacterial strain in a sample by acquiring image sequences of individual bacterial cells of the bacterial strain in a subject sample before, during, and after exposure to each antibiotic at different concentrations. The image sequences are compressed into static images while preserving essential phenotypic features. Data representing the static images is input into a pre-trained deep learning (DL) model which generates output data; and antimicrobial susceptibility for the bacterial strain is determined from the output data.
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